Research On Buffer Capacity Allocation Technology Of Dissimilar Hybrid Parallel Production Line

The buffer zone exists extensively inside the manufacturing enterprises and is designed to store semi-finished products and finished products temporarily to reduce the impact of poor conditions of production equipment on the performance of the entire manufacturing system.The quality of the buffer configuration has a very important impact on the performance of the production system.Therefore,it cannot be eliminated completely from the perspective of the enterprise supply chain or internal actual production needs.Dissimilar hybrid parallel production line is a typical manufacturing unit in a production system.The quality of its system performance is related to the efficiency and development of manufacturing enterprises.Therefore,this paper uses random failures as a representative of random events to study and solve the problem of buffer capacity allocation of dissimilar parallel production lines affected by random events.The main work is as follows:Firstly,the two production system performance evaluation techniques of synthesis method and decomposition method as well as the non-similar transformation technique are analyzed and studied.On the basis of mastering their technical principles and algorithm programs,the simulation experiments are carried out on the linear production line.Through the experiments and analyses,their respective characteristics are mastered,which lays the foundation for performance analysis to solve the buffer capacity allocation problem of non-similar production line and non-similar hybrid parallel production line in the later stage.Secondly,a buffer capacity allocation technique based on Impro ved Particle Swarm Optimization is proposed for non-similar pipeline production system.Aiming at the problem that traditional particle swarm optimization algorithm is easy to precocity due to the convergence effect of particles,a non-linear dynamic learning factor is introduced to avoid precocity by dynamically adjusting the "self experienc e" and "social experience" of particles.At the same time,in order to overcome the problem that the algorithm is easy to fall into the local optimum,an adaptive probability crossover operator and mutation operator are introduced to make use of their strong global search ability to make the algorithm jump out of the local optimum.The simulation results show that this technique significantly improves the performance of the algorithm,and effectively overcomes the problems of premature convergence and easy to fall into local optimum in solving the buffer allocation problem of non-similar pipeline.Thirdly,in order to solve the problem of buffer capacity allocation of non-similar hybrid parallel production lines,a new buffer capacity allocation technology for non-similar hybrid parallel production lines is proposed.This technology introduces an overlapping decomposition technique and combines the decomposition method to approximate the performance of the system.At the same time,in order to improve the convergent speed and convergent accuracy of the algorithm,an adaptive Cauchy mutation particle swarm optimization algorithm is proposed.The new algorithm introduces a dynamic inertia weight strategy based on the standard particle swarm optimization algorithm,and balances the global search ability and local search ability of the algorithm in the process of optimization by dynamically adjusting the inertia weight value.In order to further enhance the ability of the algorithm to jump out of the local optimum and accelerate the searching speed,an adaptive Cauchy mutation strategy is introduced,which makes the algorithm better jump out of the local optimum and accelerate the convergent speed.The simulation results show that the technology has better performance and faster convergent speed in solving the buffer allocation problem of non-similar hybrid parallel production lines.Finally,the software modularization design of buffer capacity allo cation technology of non-similar hybrid parallel production line is carried out by using GUI in MATLAB.Users can directly input parameters through GUI to run and get results,which has strong operability and practicality.